Structure

Physi-Chem Properties

Molecular Weight:  530.01
Volume:  412.524
LogP:  4.786
LogD:  3.71
LogS:  -4.402
# Rotatable Bonds:  5
TPSA:  61.83
# H-Bond Aceptor:  5
# H-Bond Donor:  0
# Rings:  2
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.388
Synthetic Accessibility Score:  4.963
Fsp3:  0.895
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  2
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.653
MDCK Permeability:  4.838337918044999e-05
Pgp-inhibitor:  1.0
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.051
20% Bioavailability (F20%):  0.189
30% Bioavailability (F30%):  0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.905
Plasma Protein Binding (PPB):  87.04898834228516%
Volume Distribution (VD):  2.013
Pgp-substrate:  17.830764770507812%

ADMET: Metabolism

CYP1A2-inhibitor:  0.074
CYP1A2-substrate:  0.103
CYP2C19-inhibitor:  0.072
CYP2C19-substrate:  0.8
CYP2C9-inhibitor:  0.833
CYP2C9-substrate:  0.049
CYP2D6-inhibitor:  0.007
CYP2D6-substrate:  0.157
CYP3A4-inhibitor:  0.664
CYP3A4-substrate:  0.892

ADMET: Excretion

Clearance (CL):  2.743
Half-life (T1/2):  0.249

ADMET: Toxicity

hERG Blockers:  0.179
Human Hepatotoxicity (H-HT):  0.7
Drug-inuced Liver Injury (DILI):  0.916
AMES Toxicity:  0.534
Rat Oral Acute Toxicity:  0.438
Maximum Recommended Daily Dose:  0.625
Skin Sensitization:  0.874
Carcinogencity:  0.481
Eye Corrosion:  0.977
Eye Irritation:  0.559
Respiratory Toxicity:  0.981

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC469580

Natural Product ID:  NPC469580
Common Name*:   (5S)-5-Acetoxyacetylcaespitol
IUPAC Name:   [(2S,3S,5S)-2-[(1S,2S,4R,5R)-2-acetyloxy-5-bromo-4-chloro-4-methylcyclohexyl]-5-bromo-2,6,6-trimethyloxan-3-yl] acetate
Synonyms:   (5S)-5-Acetoxyacetylcaespitol
Standard InCHIKey:  OMBBHMVIDWGJKW-NPFZYRJPSA-N
Standard InCHI:  InChI=1S/C19H29Br2ClO5/c1-10(23)25-13-9-18(5,22)15(21)7-12(13)19(6)16(26-11(2)24)8-14(20)17(3,4)27-19/h12-16H,7-9H2,1-6H3/t12-,13-,14-,15+,16-,18+,19-/m0/s1
SMILES:  CC(=O)OC1CC(C(OC1(C)C2CC(C(CC2OC(=O)C)(C)Cl)Br)(C)C)Br
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL1088317
PubChem CID:   46881053
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000267] Organohalogen compounds
      • [CHEMONTID:0002867] Alkyl halides
        • [CHEMONTID:0004485] Cyclohexyl halides

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO29486 Laurencia catarinensis Species Rhodomelaceae Eukaryota n.a. Brazilian n.a. PMID[20039643]
NPO29486 Laurencia catarinensis Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

Organism ID NP ID Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT139 Cell Line HT-29 Homo sapiens IC50 > 100000.0 nM PMID[512940]
NPT83 Cell Line MCF7 Homo sapiens IC50 > 100000.0 nM PMID[512940]
NPT762 Cell Line A-431 Homo sapiens IC50 > 100000.0 nM PMID[512940]

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC469580 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID
0.9487 High Similarity NPC469556
0.9459 High Similarity NPC469581
0.9367 High Similarity NPC469555
0.9189 High Similarity NPC277993
0.9189 High Similarity NPC33876
0.7848 Intermediate Similarity NPC83368
0.7432 Intermediate Similarity NPC308569
0.7432 Intermediate Similarity NPC469572
0.7432 Intermediate Similarity NPC469582
0.7024 Intermediate Similarity NPC150938
0.6633 Remote Similarity NPC475934
0.6596 Remote Similarity NPC76909
0.6588 Remote Similarity NPC123122
0.6582 Remote Similarity NPC469573
0.6522 Remote Similarity NPC282598
0.6506 Remote Similarity NPC475786
0.6351 Remote Similarity NPC291724
0.6351 Remote Similarity NPC274261
0.6277 Remote Similarity NPC93616
0.625 Remote Similarity NPC204173
0.6211 Remote Similarity NPC279260
0.6211 Remote Similarity NPC246347
0.6207 Remote Similarity NPC476718
0.6146 Remote Similarity NPC471377
0.6136 Remote Similarity NPC475793
0.6136 Remote Similarity NPC237510
0.6111 Remote Similarity NPC244002
0.6 Remote Similarity NPC476928
0.6 Remote Similarity NPC136424
0.5955 Remote Similarity NPC472945
0.5955 Remote Similarity NPC472944
0.5934 Remote Similarity NPC476719
0.5926 Remote Similarity NPC185116
0.5914 Remote Similarity NPC472951
0.5914 Remote Similarity NPC471216
0.5914 Remote Similarity NPC15714
0.5914 Remote Similarity NPC472943
0.5914 Remote Similarity NPC471217
0.587 Remote Similarity NPC43463
0.587 Remote Similarity NPC252483
0.587 Remote Similarity NPC191345
0.5851 Remote Similarity NPC470154
0.5851 Remote Similarity NPC470156
0.5851 Remote Similarity NPC71541
0.5843 Remote Similarity NPC109510
0.5806 Remote Similarity NPC83436
0.5806 Remote Similarity NPC477287
0.5789 Remote Similarity NPC477446
0.5789 Remote Similarity NPC470155
0.5789 Remote Similarity NPC477447
0.5789 Remote Similarity NPC477284
0.5778 Remote Similarity NPC166250
0.5773 Remote Similarity NPC48210
0.5773 Remote Similarity NPC469570
0.5745 Remote Similarity NPC186594
0.573 Remote Similarity NPC470173
0.5714 Remote Similarity NPC475276
0.5714 Remote Similarity NPC471410
0.5714 Remote Similarity NPC471411
0.5684 Remote Similarity NPC211049
0.5684 Remote Similarity NPC119922
0.5684 Remote Similarity NPC116320
0.5682 Remote Similarity NPC253123
0.567 Remote Similarity NPC18953
0.567 Remote Similarity NPC65133
0.5667 Remote Similarity NPC474755
0.5667 Remote Similarity NPC470526
0.5667 Remote Similarity NPC476422
0.5663 Remote Similarity NPC472021
0.5652 Remote Similarity NPC30575
0.5638 Remote Similarity NPC329871
0.5632 Remote Similarity NPC179823
0.5625 Remote Similarity NPC154043
0.5625 Remote Similarity NPC202688
0.5625 Remote Similarity NPC286719
0.5625 Remote Similarity NPC477286
0.5625 Remote Similarity NPC60018
0.5625 Remote Similarity NPC216800
0.5618 Remote Similarity NPC5209
0.5618 Remote Similarity NPC51956
0.5618 Remote Similarity NPC29005
0.561 Remote Similarity NPC240206
0.5604 Remote Similarity NPC74639
0.5604 Remote Similarity NPC55508
0.56 Remote Similarity NPC475817

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC469580 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.5833 Remote Similarity NPD371 Approved
0.5618 Remote Similarity NPD2687 Approved
0.5618 Remote Similarity NPD2686 Approved
0.5618 Remote Similarity NPD2254 Approved

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data